SCREMS: High Performance Scientific Computing Environment
SCEMS:高性能科学计算环境
基本信息
- 批准号:0821071
- 负责人:
- 金额:$ 11.35万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-09-01 至 2010-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Departments of Mathematical Sciences and of Computer Science at Kent State University will purchasea high performance parallel cluster computer to enhance the research and educational activities inthe area of applied mathematics and scientific computing at both departments.Scientific computing has become an important investigation tool in many areas of science and engineering.High performance computing on large parallel clusters is routinely required for many research andapplication problems. The Departments of Mathematical Sciences and of Computer Science at Kent StateUniversity have research areas which includeparallel numerical algorithms for solving boundary value problems for partial differential equations,iterative solution methods for large linear systems of equations, iterative methods for the computations ofa few eigenvalues or singular values of a large matrix, solution of large-scale ill-posed problems, imageprocessing, simulation and analysis of liquid crystals, etc.The cluster computer will contain one master node and 12 computation/visualization nodes connectedthrough a high speed InfiniBand network in a single rack. Each computation node contains 4 processors(two 2.8GHz dual-core AMD CPUs) with dual PCI-E graphics cards and 32GB of RAM. This highperformance computing environment will provide sufficient computing support for high-quality researchactivities in the area of applied mathematics and scientific computing at both departments.
肯特州立大学的数学科学系和计算机科学系将购买一台高性能并行集群计算机,以加强这两个系在应用数学和科学计算领域的研究和教育活动。科学计算已成为许多科学和工程领域的重要研究工具。许多研究经常需要在大型并行集群上进行高性能计算和应用问题。肯特州立大学数学科学系和计算机科学系的研究领域包括偏微分方程边值问题的并行数值算法、大型线性方程组的迭代解法、大型矩阵的特征值或奇异值的迭代解法、大型不适定问题的求解、图像处理、该集群计算机将包含一个主节点和12个计算/可视化节点,这些节点通过高速InfiniBand网络连接在一个机架中。每个计算节点包含4个处理器(两个2.8GHz双核AMD CPU),双PCI-E显卡和32 GB RAM。这个高性能的计算环境将为两个系在应用数学和科学计算领域的高质量研究活动提供足够的计算支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jing Li其他文献
Interactive visual analytics of moving passenger flocks using massive smart card data
使用大量智能卡数据对移动旅客群进行交互式视觉分析
- DOI:
10.1080/15230406.2022.2039775 - 发表时间:
2022-03 - 期刊:
- 影响因子:2.5
- 作者:
Tong Zhang;Wei He;Jing Huang;Zhenxuan He;Jing Li - 通讯作者:
Jing Li
Atomistic description of Si etching with HCl
用 HCl 蚀刻 Si 的原子描述
- DOI:
10.1016/j.apsusc.2024.159836 - 发表时间:
2024 - 期刊:
- 影响因子:6.7
- 作者:
Biel Martínez;Jing Li;Hector Prats;Benoît Sklénard - 通讯作者:
Benoît Sklénard
Preparation and Mechanical Properties of Carbon Nanotubes Reinforced Al2O3/TiC composites
碳纳米管增强Al2O3/TiC复合材料的制备及力学性能
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Jing Li;Hui Liu - 通讯作者:
Hui Liu
Occurrence, migration and health risk of phthalates in tap water, barreled water and bottled water in Tianjin, China
天津市自来水、桶装水和瓶装水中邻苯二甲酸盐的存在、迁移及健康风险
- DOI:
10.1016/j.jhazmat.2020.124891 - 发表时间:
2021 - 期刊:
- 影响因子:13.6
- 作者:
Chenchen Wang;Panpan Huang;Chunsheng Qiu;Jing Li;Shuailong Hu;Liping Sun;Yaohui Bai;Fu Gao;Chaocan Li;Nannan Liu;Dong Wang;Shaopo Wang - 通讯作者:
Shaopo Wang
Multiple mediators in the relationship between perceived teacher autonomy support and student engagement in math and literacy learning
感知教师自主支持与学生数学和识字学习参与度之间关系的多重中介因素
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Hongrui Liu;M. Yao;Jing Li;Ruoxuan Li - 通讯作者:
Ruoxuan Li
Jing Li的其他文献
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{{ truncateString('Jing Li', 18)}}的其他基金
CAREER: Towards Safety-Critical Real-Time Systems with Learning Components
职业:迈向具有学习组件的安全关键实时系统
- 批准号:
2340171 - 财政年份:2024
- 资助金额:
$ 11.35万 - 项目类别:
Continuing Grant
Collaborative Research: RUI: Structured Population Dynamics Subject to Stoichiometric Constraints
合作研究:RUI:受化学计量约束的结构化人口动态
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2322104 - 财政年份:2023
- 资助金额:
$ 11.35万 - 项目类别:
Standard Grant
PIPP Phase I: Comprehensive, Integrated, Intelligent System for Early and Accurate Pandemic Prediction, Prevention, and Preparation at Personal and Population Levels
PIPP第一阶段:全面、集成、智能的系统,用于个人和人群层面的早期、准确的流行病预测、预防和准备
- 批准号:
2200255 - 财政年份:2022
- 资助金额:
$ 11.35万 - 项目类别:
Standard Grant
NSF-BSF: Collaborative Research: Market Conduct in Technology Adoption in the Automobile Industry
NSF-BSF:合作研究:汽车行业技术采用的市场行为
- 批准号:
2049263 - 财政年份:2021
- 资助金额:
$ 11.35万 - 项目类别:
Standard Grant
CAREER: Associative In-Memory Graph Processing Paradigm: Towards Tera-TEPS Graph Traversal In a Box
职业:关联内存图处理范式:在盒子中实现 Tera-TEPS 图遍历
- 批准号:
2040463 - 财政年份:2020
- 资助金额:
$ 11.35万 - 项目类别:
Continuing Grant
FET: CCF: Small: Computational Drug Prediction through Joint Learning
FET:CCF:小型:通过联合学习进行计算药物预测
- 批准号:
2006780 - 财政年份:2020
- 资助金额:
$ 11.35万 - 项目类别:
Standard Grant
Inverse Mapping of Spatial-Temporal Molecular Heterogeneity from Imaging Phenotype
从成像表型逆映射时空分子异质性
- 批准号:
2053170 - 财政年份:2020
- 资助金额:
$ 11.35万 - 项目类别:
Continuing Grant
RAPID:Genomic Variation Analysis of Coronavirus to Better Understand the Spread of COVID-19
RAPID:冠状病毒的基因组变异分析,以更好地了解 COVID-19 的传播
- 批准号:
2027667 - 财政年份:2020
- 资助金额:
$ 11.35万 - 项目类别:
Standard Grant
CRII: CSR: Enabling Efficient Real-Time Systems upon Multiple Parallel Resources
CRII:CSR:在多个并行资源上实现高效的实时系统
- 批准号:
1948457 - 财政年份:2020
- 资助金额:
$ 11.35万 - 项目类别:
Standard Grant
Inverse Mapping of Spatial-Temporal Molecular Heterogeneity from Imaging Phenotype
从成像表型逆映射时空分子异质性
- 批准号:
1903135 - 财政年份:2019
- 资助金额:
$ 11.35万 - 项目类别:
Continuing Grant
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